Quito, Ecuador

Universidad San Francisco de Quito USFQ

Universidad San Francisco de Quito USFQ has 4 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 20, 2026.

Universidad San Francisco de Quito USFQ AI policy short answer

v1 public contract

Universidad San Francisco de Quito USFQ has 4 source-backed AI policy claims from 3 official source attributions, including 4 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 20, 2026. Discovery context: Universidad San Francisco de Quito USFQ is listed as QS 2026 rank 801-850.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Universidad San Francisco de Quito USFQ as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universidad-san-francisco-de-quito-usfq.json. The entity-level confidence is 88%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.

Claim coverage4 reviewedSource languageesPublic JSON/api/public/v1/universities/universidad-san-francisco-de-quito-usfq.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Teaching claims.
  • Named AI services detected in public claims: ChatGPT, Claude.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims4Reviewed4Candidate0Official sources3

This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.

This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.

Policy profile

Deterministic source-backed dimensions derived from this record's public claims.

Coverage score70/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence72%

Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.

Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.

Policy presence

No source-backed public AI policy or guidance record is present in this profile.

The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

AI disclosure

Universidad San Francisco de Quito USFQ has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence75%Evidence1Sources1

Privacy and data entry

No source-backed public claim about privacy or data-entry restrictions is present in this profile.

The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Research guidance

No source-backed public claim about research AI use is present in this profile.

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Security and procurement

No source-backed public claim about AI security review or procurement is present in this profile.

The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.

Evidence-backed claims

4 reviewed evidence-backed public claim

Academic Integrity

For manuscripts submitted to the USFQ-hosted Iuris Dictio journal, generative AI use is permitted only as limited formal writing support and has to be explicitly declared.

Review: Agent reviewedConfidence88%

Normalized value: journal_manuscripts_ai_limited_formal_support_disclosure_required

Original evidence

Evidence 1
El uso de herramientas de inteligencia artificial generativa se permite exclusivamente como apoyo limitado en aspectos formales de redacción (por ejemplo, gramática o claridad lingüística) y deberá declararse explícitamente.

Localized display only

Generative AI tools are permitted only as limited support for formal writing aspects, such as grammar or linguistic clarity, and must be explicitly declared.

Academic Integrity

For Iuris Dictio submissions, generative AI tools cannot replace the author’s academic judgment or perform substantive work such as hypothesis formulation, legal analysis, or argumentation.

Review: Agent reviewedConfidence88%

Normalized value: journal_manuscripts_ai_cannot_replace_academic_judgment

Original evidence

Evidence 1
En ningún caso estas herramientas podrán sustituir el criterio académico del autor ni asumir tareas sustantivas como la formulación de hipótesis, el análisis jurídico o la elaboración argumentativa.

Localized display only

In no case may these tools replace the author’s academic judgment or assume substantive tasks such as hypothesis formulation, legal analysis, or argumentation.

Ai Tool Treatment

USFQ’s “Inteligencia Artificial Generativa para Ciencias Sociales, Economía y Derecho” continuing-education program requires access to AI platform accounts, including premium OpenAI ChatGPT and Claude.ai subscriptions during the program.

Review: Agent reviewedConfidence84%

Normalized value: course_requires_premium_chatgpt_and_claude_access

Original evidence

Evidence 1
Acceso a cuentas en plataformas de IA (se requiere suscripción premium a OpenAI ChatGPT y Claude.ai durante la duración del programa)

Localized display only

Access to AI platform accounts is required, including premium OpenAI ChatGPT and Claude.ai subscriptions for the duration of the program.

Teaching

USFQ’s March 2026 generative-AI content course includes a learning outcome on evaluating AI ethics challenges and applying good practices and ethical guidelines for responsible and transparent AI use.

Review: Agent reviewedConfidence78%

Normalized value: course_teaches_responsible_transparent_ai_use

Original evidence

Evidence 1
Evaluar y abordar los desafíos éticos asociados con el uso de IA, aplicando buenas prácticas y directrices éticas para asegurar una implementación responsable y transparente.

Localized display only

The course outcome is to evaluate and address ethical challenges associated with AI use, applying good practices and ethical guidelines for responsible and transparent implementation.

Candidate claims

0 machine or needs-review claim

Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.

Official sources

3 source attribution

Change log

Source-check timeline and diff-style claim/evidence preview.

View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.

Last checkedMay 20, 2026Last changedMay 20, 2026Open change log

Corrections and missing evidence

Corrections create review tasks and do not directly change this public record.

If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.

Back to universities